Job Description

Locations - Charlotte, NC or Chandler, Arizona, or Minneapolis, Minnesota, or Dallas, Texas, or NYC or Iselin, NJ

Onsite: 3 days a week

Interview process: 2 video interviews to hire

Contract: 6-24 months

Must have:

• Development background with Java, C# or Python (will be using all 3 so any combo of these would be good and needs to be open to learning the technologies they don't already know)
• 2+ years experience with fine tuning & RAG and working with foundation models (LLMs, Gemini, LLaMa, OpenAI etc)
• Has worked within Azure and/or GCP cloud
• Nice to have any GO experience would be a huge plus

Primary Responsibilities:

Development (70%):

• Writing services in Java, C#, and Python.
• Integrating AI models into existing services.
• Ensuring the separation of logic from agent behavior, allowing agents to be wrapped in services that can be called as needed.

AI and Machine Learning (20%):

• Working with foundation models and large language models (LLMs) like Gemini, LLaMa, Claude, and OpenAI models in Azure.
• Applying techniques such as transfer learning, fine-tuning, and RAG for extensible model deployment and environment alignment.
• Ensuring models are secure, unbiased, and properly wrapped within a platform.

Cloud Deployment (10%):

• Deploying models and services to cloud platforms: primarily Azure and some in GCP. Their GCP environment and Vertex are largely for research and POC development

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